EEGaze: Multimodal Attention Prediction in Visual Search via EEG-Based Saliency Refinement
Paper recorded by Signals 4 on 2026-10-26 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-26 on arXiv · recorded by Signals 4 on 2026-10-27
Category: cs.AI · 人工智能 · first seen 2026-10-27
Abstract
Visual search is ubiquitous in daily life, from locating keys in a messy apartment to finding a tool in a cluttered workshop or an application icon on a desktop screen. While visual attention is to a large extent driven by image content, research in psychology indicates that user cognitive states have a significant influence on attention allocation. A promising way to access information about cogn
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Cite this page: EEGaze: Multimodal Attention Prediction in Visual Search via EEG-Based Saliency Refinement: the #155 most recent of 960 cs.AI papers we have recorded (as of 2026-10-26). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/eegaze-multimodal-attention-prediction-in-visual-search-via-eeg-based-saliency-r.html
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